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air-pollution-and-its-effect-on-mortality

This project is designed for figuring out air pollution and its effects on mortality causes utilizing various machine learning algorithms. This project is a part of STAT 627 (Statistical Machine Learning) at AU

aircraftpredictivemaintenance

applied-data-science-using-pyspark

Source Code for 'Applied Data Science Using PySpark' by Ramcharan Kakarla, Sundar Krishnan, and Sridhar Alla

au-marketing-strategy

Our objective is to look at the current marketing tactics utilized by American University and see how exactly they compare to each other in terms of the number of applications submitted for online graduate programs. We believe that (1) effective marketing will correlate with a higher rate of applications submitted and (2) applications submitted is an accurate measure of the effective reach of the marketing campaign. We focus on the efficiency of online marketing compared to traditional marketing and whether or not online marketing is worth investing more money.

bitcoin-price_prediction

building-machine-learning-pipelines

Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson

chatbot

NLP Spring 2021 - AU

covid19dashboard

data-science-from-scratch

code for Data Science From Scratch book

dataandstuff

The new data&stuff blog!

deepfakesdetection

This is a project on Deep Fakes Detection for STAT696 at AU

dlfs_code

Code for the book Deep Learning From Scratch, from O'Reilly September 2019

dudesolutions-analytics-package

epilepsy-classification-ml

freia

Framework for Easily Invertible Architectures

h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

ineuron-internship

itd_core

The CERT Division, in partnership with ExactData, LLC, and under sponsorship from DARPA I2O, generated a collection of synthetic insider threat test datasets. These datasets provide both synthetic background data and data from synthetic malicious actors. For more background on this data, please see the paper, Bridging the Gap: A Pragmatic Approach to Generating Insider Threat Data. Datasets are organized according to the data generator release that created them. Most releases include multiple datasets (e.g., r3.1 and r3.2).

ml-for-beginners

12 weeks, 24 lessons, classic Machine Learning for all

newyearwordcloud

ocrgreektextextraction

olympics-eda

openface

OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

portugesebankmarketing

power_bi_basic_viz

practical-nlp

Official Repository for 'Practical Natural Language Processing' by O'Reilly

practical-statistics-for-data-scientists

Code repository for O'Reilly book

python-natural-language-processing-cookbook

Python Natural Language Processing Cookbook, published by Packt

r4ds

R for data science